New version: DiffEqFlux v2.4.0 #92971
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- Registering package: DiffEqFlux
- Repository: https://github.com/SciML/DiffEqFlux.jl
- Created by: @ChrisRackauckas
- Version: v2.4.0
- Commit: 0eb1d91b1e98577f90043c9ed8344c9931d61adf
- Reviewed by: @ChrisRackauckas
- Reference: Register SciML/DiffEqFlux.jl#62 (comment)
- Description: Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
UUID: aae7a2af-3d4f-5e19-a356-7da93b79d9d0 Repo: https://github.com/SciML/DiffEqFlux.jl.git Tree: 143b04cda8a004d8f2a2443ee5edf1058372746a Registrator tree SHA: f73a20c99934db92a256057d0d83ba394036a701
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